Statistics in Biosciences - Top Downloaded Papers for 2023
Statistics in Biosciences highlights some of the top downloaded papers from the journal for 2023:
Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data
Anton Sugolov, Eric Emmenegger, Andrew D. Paterson, Lei Sun
Statistics in Biosciences, 1-15 - July 2023On the Methodological Aspects of the Clinical Trials for COVID-19 Conducted in the First Year of the Pandemic: A Descriptive Analysis
Eleni Georgiadi, Athanasios Sachlas
Statistics in Biosciences, 15(2), 384-396 - March 2023Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome
Hyung G. Park, Danni Wu, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden
Statistics in Biosciences, 15(2), 397-418 - May 2023Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts
Q. Shao
Statistics in Biosciences, 15(2), 372-383 - March 2023Analysis of the Cox Model with Longitudinal Covariates with Measurement Errors and Partly Interval Censored Failure Times, with Application to an AIDS Clinical Trial
Yanqing Sun, Qingning Zhou, Peter B. Gilbert
Statistics in Biosciences, 15(2), 430-454 - May 2023